A Server Placement Algorithm Conscious of Communication Delays and Relocation Costs
Revised Papers from the NETWORKING 2002 Workshops on Web Engineering and Peer-to-Peer Computing
Virtualization: From the Desktop to the Enterprise (Books for Professionals by Professionals)
Virtualization: From the Desktop to the Enterprise (Books for Professionals by Professionals)
Advanced Server Virtualization: VMware and Microsoft Platforms in the Virtual Data Center
Advanced Server Virtualization: VMware and Microsoft Platforms in the Virtual Data Center
A Fast Rejuvenation Technique for Server Consolidation with Virtual Machines
DSN '07 Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
Data Consolidation: A Task Scheduling and Data Migration Technique for Grid Networks
CCGRID '08 Proceedings of the 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid
Server Consolidation Using Performance Modeling
IT Professional
SCC '08 Proceedings of the 2008 IEEE International Conference on Services Computing - Volume 2
An Evaluation of Server Consolidation Workloads for Multi-Core Designs
IISWC '07 Proceedings of the 2007 IEEE 10th International Symposium on Workload Characterization
| Hi-index | 0.00 |
In this paper, we have described a redesign methodology for an existing network in the educational system of 6--9 levels in the State of Kuwait, through servers consolidation. We have examined a typical school network, where the installed five servers are underutilized by more than 44% of the time. The redesign methodology operates offline by taking a snapshot of the existing network with its clients, servers and their interconnections and workloads, and translating them into a model to be manipulated for better performance with the reduction of number of servers. Our technique searches for the best possible ways to consolidate the existing servers, while maintaining an acceptable performance and increasing the utilization of remaining servers. The initial experimental results show improvement in the utilization from 44.2% to 73.61% for a network originally comprised of five servers serving 40 clients and consolidated to three servers.